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Published on: August 19, 2012
A Facile Protocol for C(sp2)-C(sp3) Bond Formation Reactions Toward Functionalized E3 Ligase Ligands
Anita Maksutova1, Thomas M Geiger2, Lorenzo Cianni2
1Pharmaceutical Institute, University of Bonn, An der Immenburg 4, DE-53121, Bonn, Germany.
This study introduces a new C(sp2)-C(sp3) bond-forming method for creating novel cereblon (CRBN) E3 ligase ligands for targeted protein degradation (TPD). The approach enhances ligand stability, binding, and degradation performance, enabling new degrader chemotypes.
Area of Science:
- Medicinal Chemistry
- Chemical Biology
- Drug Discovery
Background:
- Targeted protein degradation (TPD) relies on E3 ligase ligands.
- Existing methods often use C(sp2)-N bonds, limiting chemical diversity.
- Understanding linker effects on ligand properties is crucial for TPD efficacy.
Purpose of the Study:
- To develop novel cereblon (CRBN) E3 ligase ligands using a C(sp2)-C(sp3) bond-forming strategy.
- To investigate the impact of linker attachment and bond types on ligand stability, binding affinity, and degradation performance.
- To explore new chemical space for TPD applications beyond traditional C(sp2)-N connections.
Main Methods:
- Employed a decarboxylative cross-coupling reaction using N-hydroxyphthalimide (NHP) esters and aryl bromides.
- Synthesized and characterized novel CRBN binders and their derivatives.
- Assessed binding affinity, aqueous solubility, microsomal stability, and degradation of off-targets.
Main Results:
- Developed a versatile C(sp2)-C(sp3) bond-forming method for CRBN ligand synthesis.
- Demonstrated that C(sp2)-C(sp3) linkages improve physicochemical stability and binding affinity.
- Successfully generated potent BRD4-targeting PROTACs and GSPT1-targeting molecular glues using the new ligands.
Conclusions:
- The C(sp2)-C(sp3) bond strategy significantly expands the accessible chemical space for TPD ligands.
- This synthetic innovation allows fine-tuning of PROTAC characteristics and unlocks novel degrader chemotypes.
- The findings underscore the importance of synthetic methodology in advancing TPD applications.
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